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Record W2094713212 · doi:10.1177/1053815112453767

Follow-Up of the Cues and Care Trial

2012· article· en· W2094713212 on OpenAlexaff
Nancy Feeley, Phyllis Zelkowitz, Ian Shrier, Robyn Stremler, Ruta Westreich, David M. Dunkley, Russell Steele, Zeev Rosberger, Françine Lefebvre, Apostolos Papageorgiou

Bibliographic record

VenueJournal of Early Intervention · 2012
Typearticle
Languageen
FieldMedicine
TopicInfant Development and Preterm Care
Canadian institutionsCentre Hospitalier Universitaire Sainte-JustineMcGill UniversityUniversity of TorontoJewish General Hospital
Fundersnot available
KeywordsPsychologyAnxietyRandomized controlled trialBayley Scales of Infant DevelopmentIntervention (counseling)Developmental psychologyDepression (economics)Clinical psychologyChild developmentLow birth weightPsychiatryCognitionMedicinePregnancyPsychomotor learning

Abstract

fetched live from OpenAlex

The long-term effects of the Cues intervention to reduce anxiety and enhance the interactive behavior of mothers of very low birth weight (VLBW) infants were investigated. A randomized trial comparing the Cues intervention to an attention control condition was conducted. A total of 122 mothers of newborns weighing < 1,500 g were randomized, and 96 participated in a follow-up assessment when the infants were 6 months corrected age. Maternal outcomes included anxiety, posttraumatic stress and depression, and mother–infant interaction. The Bayley Scales were used to assess infant development. Mother’s anxiety was not significantly lower in the Cues group (27.8 [ SD = 7.9]) compared with the control group (30.5 [ SD = 10.0]; p = 0.14). Mothers in the Cues group were not more sensitive in interactions with their infants. There were no differences between groups with respect to infant development. Thus, there was no evidence of any differential beneficial effects of the Cues program.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.014
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.020
Threshold uncertainty score0.067

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.014
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0040.002
Bibliometrics0.0010.001
Science and technology studies0.0020.001
Scholarly communication0.0010.002
Open science0.0010.001
Research integrity0.0050.004
Insufficient payload (model declined to judge)0.0200.003

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.025
GPT teacher head0.300
Teacher spread0.275 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations16
Published2012
Admission routes1
Has abstractyes

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